" ... To investigate the structural and functional determinants of pattern separation we built models of the cerebellar input layer with spatially correlated input patterns, and systematically varied their synaptic connectivity. ..."
Model Type: Realistic Network
Region(s) or Organism(s): Cerebellum
Model Concept(s): Pattern Separation
Simulation Environment: MATLAB; Python
Implementer(s): Cayco Gajic, Alex [natasha.gajic at ucl.ac.uk]
References:
Cayco-Gajic NA, Clopath C, Silver RA. (2017). Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature communications. 8 [PubMed]